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lazy  

Lazy Learning for Local Regression
View on CRAN: Click here


Download and install lazy package within the R console
Install from CRAN:
install.packages("lazy")

Install from Github:
library("remotes")
install_github("cran/lazy")

Install by package version:
library("remotes")
install_version("lazy", "1.2-18")



Attach the package and use:
library("lazy")
Maintained by
Theo Verhelst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-12-09
Latest Update: 2022-10-21
Description:
By combining constant, linear, and quadratic local models, lazy estimates the value of an unknown multivariate function on the basis of a set of possibly noisy samples of the function itself. This implementation of lazy learning automatically adjusts the bandwidth on a query-by-query basis through a leave-one-out cross-validation.
How to cite:
Theo Verhelst (2003). lazy: Lazy Learning for Local Regression. R package version 1.2-18, https://cran.r-project.org/web/packages/lazy. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 1.2-13 (2003-12-09 14:17), 1.2-14 (2012-10-29 08:59), 1.2-15 (2013-09-22 17:33), 1.2-16 (2018-07-20 18:40), 1.2-17 (2022-04-06 12:12), 1.2-18 (2022-10-21 13:32)
Other packages that cited lazy R package
View lazy citation profile
Other R packages that lazy depends, imports, suggests or enhances
Complete documentation for lazy
Functions, R codes and Examples using the lazy R package
Some associated functions: lazy.control . lazy . predict.lazy . 
Some associated R codes: lazy.R .  Full lazy package functions and examples
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Maintainer: Yi Liu (view profile)

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